Data Infrastructure Engineer Salary in 2024

Salary details

The average Data Infrastructure Engineer salary lies between USD 140,000 and USD 221,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Salary trend

Top 20 Job Tags for Data Infrastructure Engineer roles

The three most common job tag items assiciated with Data Infrastructure Engineer job listings are Engineering, Python and Pipelines. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 61 jobs Python | 59 jobs Pipelines | 48 jobs AWS | 45 jobs Spark | 43 jobs Security | 41 jobs Kubernetes | 40 jobs Kafka | 38 jobs Data pipelines | 36 jobs Architecture | 34 jobs Java | 34 jobs SQL | 33 jobs Terraform | 30 jobs Big Data | 27 jobs GCP | 27 jobs Docker | 27 jobs Azure | 26 jobs Computer Science | 25 jobs Machine Learning | 24 jobs DevOps | 24 jobs

Top 20 Job Perks/Benefits for Data Infrastructure Engineer roles

The three most common job benefits and perks assiciated with Data Infrastructure Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 54 jobs Health care | 43 jobs Equity / stock options | 42 jobs Flex vacation | 27 jobs Startup environment | 27 jobs Flex hours | 24 jobs Competitive pay | 24 jobs Insurance | 23 jobs Parental leave | 21 jobs Team events | 21 jobs Salary bonus | 16 jobs Medical leave | 15 jobs Unlimited paid time off | 11 jobs Wellness | 10 jobs Relocation support | 9 jobs 401(k) matching | 6 jobs Gear | 6 jobs Home office stipend | 6 jobs Fertility benefits | 6 jobs Conferences | 3 jobs

Salary Composition for Data Infrastructure Engineers

The salary composition for a Data Infrastructure Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses.

• Bonuses: These are performance-based and can vary widely. In tech-heavy industries, bonuses might be tied to project completion, company performance, or individual performance metrics. Bonuses can range from 10% to 20% of the base salary.

• Additional Remuneration: This includes stock options, profit-sharing, and other benefits like health insurance, retirement plans, and paid time off. In larger tech companies, stock options can be a significant part of the compensation package, potentially increasing the total remuneration substantially.

Steps to Increase Salary

To increase your salary from the position of a Data Infrastructure Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest technologies and tools in data infrastructure, such as cloud platforms (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and containerization (Docker, Kubernetes).

• Advanced Certifications: Obtain advanced certifications in relevant areas, which can make you more valuable to your employer and open up higher-paying opportunities.

• Networking and Industry Engagement: Attend industry conferences, webinars, and workshops to network with peers and stay informed about industry trends. This can lead to new job opportunities or promotions within your current organization.

• Leadership Roles: Aim for leadership or managerial roles within your team, which often come with higher pay and additional responsibilities.

Educational Requirements

Most Data Infrastructure Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, or Data Science. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in mathematics, statistics, and computer programming is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market:

• Certified Data Management Professional (CDMP)
• AWS Certified Solutions Architect
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate

These certifications demonstrate expertise in specific tools and platforms that are highly valued in the industry.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in data engineering, software development, or IT infrastructure roles. Experience with data warehousing, ETL processes, and cloud computing is often required. For senior positions, 7-10 years of experience may be necessary, along with proven leadership skills.

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